Literature DB >> 33936464

Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden.

Amanda J Moy1, Jessica M Schwartz2, Jonathan Elias1,3, Seemab Imran3, Eugene Lucas1,3, Kenrick D Cato2,4, Sarah Collins Rossetti1,2.   

Abstract

Clinical documentation burden has been broadly acknowledged, yet few interprofessional measures of burden exist. Using interprofessional time-motion study (TMS) data, we evaluated clinical workflows with a focus on electronic health record (EHR) utilization and fragmentation among 47 clinicians: 34 advanced practice providers (APPs) and 13 registered nurses (RNs) from: an acute care unit (n=15 observations [obs]), intensive care unit (nobs=14), ambulatory clinic (nobs=3), and emergency department (nobs=15). We examined workflow fragmentation, task-switch type, and task involvement. In our study, clinicians on average exhibited 1.4±0.6 switches per minute in their workflow. Eighty-four (19.6%) of the 429 task-switch types presented in the data accounted for 80.1% of all switches. Among those, data viewing- and data entry-related tasks were involved in 48.2% of all switches, indicating documentation burden may play a critical role in workflow disruptions. Therefore, interruption rate evaluated through task switches may serve as a proxy for measuring burden. ©2020 AMIA - All rights reserved.

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Year:  2021        PMID: 33936464      PMCID: PMC8075533     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  37 in total

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Journal:  J Am Med Inform Assoc       Date:  2015-09-02       Impact factor: 4.497

Review 2.  The impact of electronic health records on time efficiency of physicians and nurses: a systematic review.

Authors:  Lise Poissant; Jennifer Pereira; Robyn Tamblyn; Yuko Kawasumi
Journal:  J Am Med Inform Assoc       Date:  2005-05-19       Impact factor: 4.497

3.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

4.  Electronic medical records and physician stress in primary care: results from the MEMO Study.

Authors:  Stewart Babbott; Linda Baier Manwell; Roger Brown; Enid Montague; Eric Williams; Mark Schwartz; Erik Hess; Mark Linzer
Journal:  J Am Med Inform Assoc       Date:  2013-09-04       Impact factor: 4.497

5.  Workarounds used by nurses to overcome design constraints of electronic health records.

Authors:  Sarah A Collins; Matthew Fred; Lauren Wilcox; David K Vawdrey
Journal:  NI 2012 (2012)       Date:  2012-06-23

Review 6.  Time motion studies in healthcare: what are we talking about?

Authors:  Marcelo Lopetegui; Po-Yin Yen; Albert Lai; Joseph Jeffries; Peter Embi; Philip Payne
Journal:  J Biomed Inform       Date:  2014-03-07       Impact factor: 6.317

7.  Medication errors and adverse drug events in an intensive care unit: direct observation approach for detection.

Authors:  Brian J Kopp; Brian L Erstad; Michelle E Allen; Andreas A Theodorou; Gail Priestley
Journal:  Crit Care Med       Date:  2006-02       Impact factor: 7.598

8.  Evidence Relating Health Care Provider Burnout and Quality of Care: A Systematic Review and Meta-analysis.

Authors:  Daniel S Tawfik; Annette Scheid; Jochen Profit; Tait Shanafelt; Mickey Trockel; Kathryn C Adair; J Bryan Sexton; John P A Ioannidis
Journal:  Ann Intern Med       Date:  2019-10-08       Impact factor: 25.391

9.  Understanding and preventing wrong-patient electronic orders: a randomized controlled trial.

Authors:  Jason S Adelman; Gary E Kalkut; Clyde B Schechter; Jeffrey M Weiss; Matthew A Berger; Stan H Reissman; Hillel W Cohen; Stephen J Lorenzen; Daniel A Burack; William N Southern
Journal:  J Am Med Inform Assoc       Date:  2012-06-29       Impact factor: 4.497

10.  Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction.

Authors:  Tait D Shanafelt; Lotte N Dyrbye; Christine Sinsky; Omar Hasan; Daniel Satele; Jeff Sloan; Colin P West
Journal:  Mayo Clin Proc       Date:  2016-06-27       Impact factor: 7.616

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  3 in total

1.  Predicting next-day discharge via electronic health record access logs.

Authors:  Xinmeng Zhang; Chao Yan; Bradley A Malin; Mayur B Patel; You Chen
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 7.942

2.  Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden.

Authors:  Amanda J Moy; Lucy Aaron; Kenrick D Cato; Jessica M Schwartz; Jonathan Elias; Richard Trepp; Sarah Collins Rossetti
Journal:  Appl Clin Inform       Date:  2021-10-27       Impact factor: 2.762

3.  Measuring and Maximizing Undivided Attention in the Context of Electronic Health Records.

Authors:  You Chen; Julia Adler-Milstein; Christine A Sinsky
Journal:  Appl Clin Inform       Date:  2022-07-05       Impact factor: 2.762

  3 in total

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